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Hainfeld
City in Lower Austria, Austria
Overview
Hainfeld is a charming market town in Lower Austria, set in the scenic Gölsen Valley. Known for its friendly community, beautiful natural surroundings, and historical architecture, it offers a true small-town Austrian experience.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
3,726
Time Zone
Europe/Vienna
Coordinates
48.03°, 15.77°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
78
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,790
Local Cost
$995
Local Income
$2,300
Cashless
75
English
65
Temperature
7.7°C
Summer Avg
17.3°C
Winter Avg
-1.9°C
Record High
36.7°C
Record Low
-23.3°C
Humidity
83%
Precipitation
967 mm
Internet Speed
46 Mbps
Upload
8 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
22
Walk Score
22
Footways
44.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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